Triple

T10384771
Position Surface form Disambiguated ID Type / Status
Subject Betty Cuthbert E244732 entity
Predicate nickname P55 FINISHED
Object Betty
Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
 E244732 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Betty | Statement: [Betty Cuthbert, nickname, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betty
Context triple: [Betty Cuthbert, nickname, Betty]
  • A. Betty
    Betty is the young, resourceful heroine of the children's story "Betty's Bright Idea," known for her cleverness and problem-solving nature.
  • B. Betty
    Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • C. Betty
    Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
  • D. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • E. Betty
    "Betty" is the Allied reporting name for the Mitsubishi G4M, a Japanese World War II twin-engine land-based bomber known for its long range and vulnerability due to lack of armor and self-sealing fuel tanks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Betty
Triple: [Betty Cuthbert, nickname, Betty]
Generated description
Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betty
Target entity description: Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
  • A. Betty chosen
    Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
  • B. Betty
    Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
  • C. Betty
    Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
  • D. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • E. Betty
    Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a35fb08190ab85b4a8f8dea511 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795a30a008190a42db2eda3b5dca2 completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d797a355488190ad088ea0253a98d7 completed April 9, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69d7982bf5b0819085886d96ea87fa50 completed April 9, 2026, 12:14 p.m.
Created at: April 6, 2026, 12:04 p.m.